Data from: Tensor analysis reveals distinct population structure that parallels the different computational roles of areas M1 and V1

Jeffrey S. Seely, Matthew T. Kaufman, Stephen I. Ryu, Krishna V. Shenoy, John P. Cunningham & Mark M. Churchland
Cortical firing rates frequently display elaborate and heterogeneous temporal structure. One often wishes to compute quantitative summaries of such structure—a basic example is the frequency spectrum—and compare with model-based predictions. The advent of large-scale population recordings affords the opportunity to do so in new ways, with the hope of distinguishing between potential explanations for why responses vary with time. We introduce a method that assesses a basic but previously unexplored form of population-level structure: when...

Registration Year

  • 2016
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Resource Types

  • Dataset
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Affiliations

  • Howard Hughes Medical Institute
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  • Stanford University
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  • Columbia University Medical Center
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  • Cold Spring Harbor Laboratory
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